{ "note": "Registry of result labels. 'order' of this list fixes the bootstrap RNG stream: append new models at the end so existing confidence intervals never move.", "models": [ { "label": "alibaba/qwen-flash", "model_ref": "qwen-flash", "route": "Alibaba Cloud Model Studio API, buffered (non-streaming), enable_thinking=false, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "Buffered API: wall time only; TTFT and tok/s unavailable" }, { "label": "alibaba/qwen-plus", "model_ref": "qwen-plus", "route": "Alibaba Cloud Model Studio API, buffered (non-streaming), enable_thinking=false, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "Buffered API: wall time only; TTFT and tok/s unavailable", "coverage_note": "Run stopped during R6; R6 partial and R7 not run. Missing trials are not failures." }, { "label": "RK1-Qwen3-4B", "model_ref": "Qwen3-4B-Instruct-2507, RKLLM W8A8 build, compiled context 2048", "route": "owned edge node, local NPU inference via the RKLLM runtime (1.3.1)", "hardware_class": "edge SoC: Turing RK1 compute module, Rockchip RK3588, 3-core NPU, 32 GB", "output_token_cap": {"R1-R5": 512, "R6-R7": 512}, "latency_instrument": "RKLLM native callbacks/perf; trial wall time includes remote shell and model init", "coverage_note": "Native 512 output / 2048 context limit kept for R6-R7, unlike the 2048 output cap on hosted routes. Input tokens were not logged." }, { "label": "astra", "model_ref": "openai/gpt-6-astra", "route": "OpenRouter, OpenAI-compatible streaming chat completions, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "SSE first content event; tok/s = (completion_tokens-1)/(last-first content event)" }, { "label": "deepseek-v4-flash", "model_ref": "deepseek/deepseek-v4-flash", "route": "OpenRouter, OpenAI-compatible streaming chat completions, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "SSE first content event; tok/s = (completion_tokens-1)/(last-first content event)" }, { "label": "glm-4.7-flash", "model_ref": "z-ai/glm-4.7-flash", "route": "OpenRouter, OpenAI-compatible streaming chat completions, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "SSE first content event; tok/s = (completion_tokens-1)/(last-first content event)" }, { "label": "gpt-5-nano", "model_ref": "openai/gpt-5-nano", "route": "OpenRouter, OpenAI-compatible streaming chat completions, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "SSE first content event; tok/s = (completion_tokens-1)/(last-first content event)" }, { "label": "qwen3.7-flash", "model_ref": "qwen/qwen3.7-flash", "route": "OpenRouter, OpenAI-compatible streaming chat completions, temperature 0", "hardware_class": "hosted API; serving hardware not disclosed", "output_token_cap": {"R1-R5": 512, "R6-R7": 2048}, "latency_instrument": "SSE first content event; tok/s = (completion_tokens-1)/(last-first content event)" } ] }